A Method of Communication Delay Compensation for Urban Transit SystemBased on Long-term and Short-term Memory
Communication delay and packet loss in train to ground wireless communication of urban rail transit system impedes the application of energy management system. 18 groups of train power data, in which drivers driving in the same section, are collected via 4G wireless communication. A real-time rollin...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Office of Control and Information Technology
2021-01-01
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| Series: | Kongzhi Yu Xinxi Jishu |
| Subjects: | |
| Online Access: | http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2096-5427.2021.03.002 |
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| Summary: | Communication delay and packet loss in train to ground wireless communication of urban rail transit system impedes the application of energy management system. 18 groups of train power data, in which drivers driving in the same section, are collected via 4G wireless communication. A real-time rolling load forecasting method based on long-term and short-term memory network (LSTM) is proposed after analyzing the train power data, which improves the prediction accuracy by forecasting the power based on real-time power (short-term data) and adjacent power (long-term data). After measuring the communication parameters in a 4G communication test, the communication delay induced error is calculated and compared with the prediction method. The result shows that the prediction algorithm can reduce communication delay induced error by 21.8% and packet loss induced error by 25.8% ~ 26.9%, which can provide more accurate real-time train power information and make real-time improvement for energy flow more feasible. |
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| ISSN: | 2096-5427 |